| DeepFlow: Large displacement optical flow with deep matching P Weinzaepfel, J Revaud, Z Harchaoui, C Schmid Proceedings of the IEEE international conference on computer vision, 1385-1392, 2013 | 1380 | 2013 |
| Deep image retrieval: Learning global representations for image search A Gordo, J Almazán, J Revaud, D Larlus Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1021 | 2016 |
| Epicflow: Edge-preserving interpolation of correspondences for optical flow J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 976 | 2015 |
| R2d2: Reliable and repeatable detector and descriptor J Revaud, C De Souza, M Humenberger, P Weinzaepfel Advances in neural information processing systems 32, 2019 | 965 | 2019 |
| End-to-end learning of deep visual representations for image retrieval A Gordo, J Almazan, J Revaud, D Larlus International Journal of Computer Vision 124 (2), 237-254, 2017 | 672 | 2017 |
| Learning with average precision: Training image retrieval with a listwise loss J Revaud, J Almazán, RS Rezende, CR Souza Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 480 | 2019 |
| Potion: Pose motion representation for action recognition V Choutas, P Weinzaepfel, J Revaud, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 375 | 2018 |
| Deepmatching: Hierarchical deformable dense matching J Revaud, P Weinzaepfel, Z Harchaoui, C Schmid International Journal of Computer Vision 120, 300-323, 2016 | 330 | 2016 |
| Spatio-temporal object detection proposals D Oneata, J Revaud, J Verbeek, C Schmid Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 238 | 2014 |
| Dust3r: Geometric 3d vision made easy S Wang, V Leroy, Y Cabon, B Chidlovskii, J Revaud Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 223 | 2024 |
| Event retrieval in large video collections with circulant temporal encoding J Revaud, M Douze, C Schmid, H Jégou Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 157 | 2013 |
| Transformation pursuit for image classification M Paulin, J Revaud, Z Harchaoui, F Perronnin, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 134 | 2014 |
| Improving Zernike moments comparison for optimal similarity and rotation angle retrieval J Revaud, G Lavoué, A Baskurt IEEE transactions on pattern analysis and machine intelligence 31 (4), 627-636, 2008 | 129 | 2008 |
| Superloss: A generic loss for robust curriculum learning T Castells, P Weinzaepfel, J Revaud Advances in Neural Information Processing Systems 33, 4308-4319, 2020 | 102 | 2020 |
| Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow P Weinzaepfel, T Lucas, V Leroy, Y Cabon, V Arora, R Brégier, G Csurka, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 89 | 2023 |
| Correlation-based burstiness for logo retrieval J Revaud, M Douze, C Schmid Proceedings of the 20th ACM international conference on Multimedia, 965-968, 2012 | 89 | 2012 |
| Learning to detect motion boundaries P Weinzaepfel, J Revaud, Z Harchaoui, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 83 | 2015 |
| Robust image retrieval-based visual localization using kapture M Humenberger, Y Cabon, N Guerin, J Morat, V Leroy, J Revaud, ... arXiv preprint arXiv:2007.13867, 2020 | 76 | 2020 |
| Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion P Weinzaepfel, V Leroy, T Lucas, R Brégier, Y Cabon, V Arora, L Antsfeld, ... Advances in Neural Information Processing Systems 35, 3502-3516, 2022 | 72 | 2022 |
| Grounding image matching in 3d with mast3r V Leroy, Y Cabon, J Revaud European Conference on Computer Vision, 71-91, 2024 | 59 | 2024 |
Philippe WeinzaepfelResearch Scientist, Naver Labs Europeبريد إلكتروني تم التحقق منه على naverlabs.com
